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Current LoDI Graduate Students Research Projects Student: Taimour El-Cheikh Topic: Order Picking: A Logistical Insight Research Abstract: It is estimated that 50% of labor work time in warehousing operations that employ manual order-picking is spent walking between pick locations. While this is a common, and costly, problem, much work remains in developing a scientific approach to increase the efficiency of manual order-picking operations. This research is directed toward the design, development and implementation of algorithms to solve order-picker routing problems in order to maximize the number of picks per wave.
Student: Anthony Humphrey Topic: Increasing the Efficiency of Trucking Operations Via Freight Leveling Research Abstract: In addition to seasonality of freight availability in truckload freight, there is also a weekly cycle.Generally speaking, Mondays and Fridays are high volume days, while Saturdays and Sundays have a significant volume drop-off. This weekly imbalance affects both drivers and carriers alike. Research has shown that there has been limited consideration towards this problem in the literature. One solution we have proposed is to identify Friday freight candidates that can be shifted to the weekend without disrupting overall schedules. It is possible that this can be achieved via a technique known as ‘yard stacking'.Our solution approach is similar to the problem of making intermodal drays. The objective of this research has been to examine, via the development and testing of a discrete event system simulation, various yard stacking alternatives that could enable carriers to operate more efficiently on weekends. This research studies the parameters and issues of the problem, the development of the simulation model, experimental design concerns, and the progress of the on-going testing.
Student: Daniel Sasso
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